CORDIS Project
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The ENEXA project develops advanced machine learning algorithms for knowledge graphs, focusing on scalability, transparency, and human-centered explainability. It aims to improve the deployment of these algorithms in real-world applications across various industries, including business services and geospatial intellige…
Explainable Artificial Intelligence (AI) is key to achieving a human-centred and ethical development of digital and industrial solutions. ENEXA builds upon novel and promising results in knowledge representation and machine learning to develop scalable, transparent and explainable machine learning algorithms for knowledge graphs.
The project focuses on knowledge graphs because of their critical role as enabler of new solutions across domains and industries in Europe.
Some of the existing machine…
UNIVERSITAET PADERBORN
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Greece, Agia Paraskevi
Type: Research institute
Activity type: Research Organisations
SME: No
Spain, Torrejon De Ardoz
Type: Public body
Activity type: Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
SME: No
Germany, NURNBERG
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Netherlands, Amsterdam
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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